Anastasiya Danilenka

15 papers C 3Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Jelly-Patch: a Fast Format for Recording Changes in RDF Datasets.
ISWC (Industry/Doctoral Consortium/Posters/Demos)
Piotr Sowinski, Kacper Grzymkowski, Anastasiya Danilenka
2025 J jnl
Jelly-Patch: a Fast Format for Recording Changes in RDF Datasets.
CoRR
Piotr Sowinski, Kacper Grzymkowski, Anastasiya Danilenka
2025 — conf
Jelly: a Fast and Convenient RDF Serialization Format.
SEMANTiCS (Posters, Demos, Workshops & Tutorials)
Piotr Sowinski, Karolina Bogacka, Anastasiya Danilenka, Nikita Kozlov
2025 J jnl
Jelly: a fast and convenient RDF serialization format.
CoRR
Piotr Sowinski, Karolina Bogacka, Anastasiya Danilenka, Nikita Kozlov
2024 J jnl
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning.
CoRR
Anastasiya Danilenka, Alireza Furutanpey, Víctor Casamayor-Pujol, Boris Sedlak, Anna Lackinger, Maria Ganzha, Marcin Paprzycki, Schahram Dustdar
2024 — conf
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition.
IoT
Rastko Gajanin, Anastasiya Danilenka, Andrea Morichetta, Stefan Nastic
2024 J jnl
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition.
CoRR
Rastko Gajanin, Anastasiya Danilenka, Andrea Morichetta, Stefan Nastic
2023 C conf
Diagnosing Machine Learning Problems in Federated Learning Systems: A Case Study.
FedCSIS
Karolina Bogacka, Anastasiya Danilenka, Katarzyna Wasielewska-Michniewska
2023 J jnl
Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites.
Sensors
Piotr Sowinski, Kajetan Rachwal, Anastasiya Danilenka, Karolina Bogacka, Monika Kobus, Anna Dabrowska, Andrzej Paszkiewicz, Marek Bolanowski, Maria Ganzha, Marcin Paprzycki
2023 C conf
Mitigating the effects of non-IID data in federated learning with a self-adversarial balancing method.
FedCSIS
Anastasiya Danilenka
2023 C conf
One-shot federated learning with self-adversarial data.
FedCSIS
Anastasiya Danilenka, Karolina Bogacka, Katarzyna Wasielewska-Michniewska
2022 — conf
Introducing Federated Learning into Internet of Things Ecosystems - Maintaining Cooperation Between Competing Parties.
BDA (Astronomy, Science, and Engineering)
Karolina Bogacka, Anastasiya Danilenka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki, Maria Ganzha, Eduardo Garro, Lambis Tassakos
2022 — conf
Introducing Federated Learning into Internet of Things ecosystems - preliminary considerations.
WF-IoT
Karolina Bogacka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki, Maria Ganzha, Anastasiya Danilenka, Lambis Tassakos, Eduardo Garro
2022 J jnl
Introducing Federated Learning into Internet of Things ecosystems - preliminary considerations.
CoRR
Karolina Bogacka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki, Maria Ganzha, Anastasiya Danilenka, Lambis Tassakos, Eduardo Garro
2022 J jnl
Using adversarial images to improve outcomes of federated learning for non-IID data.
CoRR
Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki, Jacek Mandziuk